kingaa / pompLinks
R package for statistical inference using partially observed Markov processes
☆116Updated last month
Alternatives and similar repositories for pomp
Users that are interested in pomp are comparing it to the libraries listed below
Sorting:
- Case studies on model assessment, model selection and inference after model selection☆170Updated last year
- loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)☆154Updated 2 weeks ago
- General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics☆126Updated last year
- Projection predictive variable selection☆112Updated last week
- A large set of JAGS examples using R☆98Updated 2 years ago
- The base NIMBLE package for R☆179Updated this week
- Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference☆112Updated 2 years ago
- Examples of statistical models implemented using JAGS☆101Updated 13 years ago
- A complete environment for Bayesian inference within R☆93Updated last year
- Estimate Realtime Case Counts and Time-varying Epidemiological Parameters☆33Updated 2 years ago
- Beginner tutorial for using cmdstan with multithreading☆62Updated 5 years ago
- Simulation-based Inference for Epidemiological Dynamics☆25Updated 2 months ago
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆66Updated 4 years ago
- Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
- Examples from McElreath's Statistical Rethinking, First edition coded in Stan.☆50Updated 6 years ago
- R package for bridge sampling☆32Updated last year
- ☆60Updated 4 months ago
- Estimate Realtime Case Counts and Time-varying Epidemiological Parameters☆131Updated last week
- Implementation of B-Splines in Stan☆51Updated 7 years ago
- BDM Code examples from Win/OpenBUGS, CARBayes and INLA☆27Updated 5 years ago
- Bayesian linear survival analysis with shrinkage priors in Stan☆24Updated 9 years ago
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆47Updated 7 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆86Updated 9 years ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated last year
- Discrete Bayesian Additive Regression Trees Sampler☆59Updated 3 months ago
- Tools for automatically generating local sensitivity measures in Stan.☆36Updated 4 years ago
- biglasso: Extending Lasso Model Fitting to Big Data in R☆114Updated 4 months ago
- An introduction to Bayesian statistics☆73Updated last year
- ☆56Updated 2 years ago
- ☆88Updated 5 years ago